Full-text search across article titles and summaries. Refine with sector, year, content type, and reading-time filters.
LinkedIn is still the top B2B growth channel if used strategically. You can grow your influence by engaging with niche leaders, using original visuals, posting consistently, sharing bold insights, and recycling your best content to maximize reach.
Teams exhibit distinct operational modes, from aligned, outcome-driven collaboration with clear direction to parallel work streams where individual efforts rarely intersect and dependency-riddled groups struggling to find unified purpose. Recognizing these modes can clarify team dynamics and promote healthier, more strategic conversations.
Effective leaders regain calendar control by clearly prioritizing tasks and structuring themed weeks, reducing context switching, boosting productivity, and improving decision-making.
"Word of Sight" leverages product visibility to drive passive advertising, turning everyday user interactions into viral growth without explicit recommendations.
This product comparison chart helps PMs deeply analyze competitors by examining more than just features - it covers positioning, pricing, market perception, and customer sentiment. Regularly updated, this internal tool guides strategic decisions, roadmap prioritization, and competitive advantage.
Effective Product Discovery balances guidance and flexibility through three focus areas: Strategic Relevancy, User Segment Leverage, and Problem Severity. This structured approach ensures teams prioritize insights backed by data, aligning discovery efforts with real business impact.
Messaging is a critical lever that amplifies good ideas and transfers emotion, yet mediocre copy signals unclear thinking and wasted opportunity. Improve writing clarity or refine underlying ideas to turn neutral copy into impactful messaging.
Product managers and product marketing managers must align internal and external efforts to ensure clarity, consistency, and momentum.
Regularly assessing meeting energy ensures progress, productivity, and transparency.
Sponsored
Autonomous coding agents are everywhere: Devin, Codex, Jules, etc. But how do you actually use them?
Vercel's BotID is an anti-bot solution, which in its Basic mode uses client-side signals to detect bots. Basic mode uses obfuscated JavaScript to collect browser fingerprints and detect automation frameworks, but the current implementation appears to be passive, collecting data rather than actively blocking bots. Deep Analysis mode uses an anti-bot system by Kasada, which is a software security company.
The DoltHub team had a mysterious 3x performance regression while working on Doltgres (a version-controlled Postgres-compatible database) compatibility with SQLAlchemy. They used Go's pprof tool to diff performance profiles between branches, which revealed that a hard-coded parameter was unnecessarily calling an expensive method to generate system table names on every table lookup.
Major AI breakthroughs aren't driven by novel ideas, but rather by unlocking new datasets. The core mechanisms behind recent advancements have existed for a while, so major progress happens when AI can learn from previously untapped sources like ImageNet, the internet, human feedback, and verifiers. The next paradigm shift won't come from better algorithms, but from harnessing data from video or embodied systems like robots.
Unlike prompt engineering, context engineering designs dynamic systems that deliver the right information and tools at the right time for LLMs to accomplish tasks. This means structuring various forms of context, like instructions, short and long-term memory, retrieved data, and available tools, into a properly detailed input. The quality of this context is necessary to better AI agents.
React has become overly complex and confusing to use. The components-based architecture coupled with features like React Hooks leads to convoluted state management and hard-to-parse code. Part of this complexity is due to the inherent challenge of building reactive UIs with many inputs and outputs, rather than it being a React-specific problem.
Claude Code hooks are user-defined shell commands that extend Claude Code's behavior by executing at specific points in its lifecycle. These hooks offer control over actions like notifications, code formatting, logging, feedback, and custom permissions. They can be configured in JSON settings files (user, project, and local) and can be organized by event type (PreToolUse, PostToolUse, Notification, and Stop) and matchers.
React Native Nitro Image is a high-performance image processing library built with Nitro. It provides an instance-based Image type with pixel data access and supports in-memory operations like resizing and cropping. The library has fast web image loading and caching using SDWebImage (iOS) and Coil (Android), along with ThumbHash support for placeholders.
CertMate is an open-source SSL certificate management system designed for modern infra, with multi-DNS provider support, Docker containerization, and a REST API. It automates certificate renewal.
OpenAI Codex and Claude Code can both be used as command-line AI coding assistants. This developer tested them on a JSON file merging task. Codex successfully completed the task with detailed explanations, while Claude Code wasn't able to. Though Codex was less transparent about its process, it was powerful and successful, which means it may be more useful for experienced devs over vibe coders.
As generative AI becomes more integrated into software, these systems will end up inheriting the unreliable, non-deterministic nature of LLMs. This isn't great for enterprise software that requires reliable, predictable results, which means companies need to implement guardrails on inputs/outputs, filtering mechanisms, and specialized observability tools to monitor AI behavior.
Unions and macros in C can be used to create type-safe generic data structures like linked lists, maps, and arrays, which allows for compile-time type checking and better memory management.
Gaps in CSS are better than margins for spacing elements in layouts because gaps are applied by parent containers (using Flexbox or Grid) to space their children, while margins are applied to individual elements, requiring more manual code management.
Admitting "I don't know" is better for creating trust with others and is better for learning.
SnapAI is an AI-powered CLI tool for React Native & Expo devs to generate app icons quickly using OpenAI's image generation models.
Sponsored
There's big investor money in project management. That's a big incentive to make bloated, barely-useable products — designed to tick boxes in a procurement manager's checklist.
Mark Zuckerberg has spent months putting together a list of the most talented engineers and researchers in artificial intelligence. Recruits on the list typically have PhDs from elite schools and work experience at places like OpenAI and Google DeepMind. Their specialized knowledge is the key to cashing in on the artificial intelligence revolution. Many of the candidates have taken meetings at Zuckerberg's homes in Palo Alto and Lake Tahoe. This article looks at some of the people on the list.
Tesla routed a Model Y SUV from its Austin, Texas, Gigafactory to an apartment building in the area on June 27 - its first driverless delivery of a new car to a customer. The vehicle transversed public roads, including highways, without a human in the driver's seat or front passenger seat. Tesla did not say which version of its software and hardware the vehicle had, but the company's Head of AI said that the vehicle was exactly the same as every Model Y produced in the Tesla factory. A video of the Model Y completing the delivery is available in the article.
The Synthetic Human Genome Project aims to write artificial human DNA from scratch - the scientists behind the project are hoping that it will answer fundamental questions about the human genome and transform our understanding of health and disease. The technology could be used to create new medical treatments like designer cell-based therapies and virus-resistant tissue transplantation. The research team hopes to be able to create the foundational tools, technologies, and methods to allow researchers to create genomes from scratch over the next half-decade. The project runs along a parallel research effort into the social and ethical issues of creating human genomes in a lab.
Neuralink has increased the number of patients with its N1 brain implant to seven. The implant allows those with cervical spinal cord injuries or amyotrophic lateral sclerosis (ALS) to control a computer with their thoughts. Six of the seven are participating in a study aimed at proving that the N1 implant, R1 surgical robot, and N1 User App are safe and effective. The implant has enabled some of the patients to work to help provide for themselves and their families financially.
Sponsored
You need a simple UX, clear pricing, and 1:1 Slack support.
vet is a command-line tool that acts as a safety net for the risky curl | bash pattern. It lets users inspect, diff against previous versions, and lint remote scripts before asking for explicit approval to execute. vet is a safer, more transparent way to handle remote code execution.
Sirius is a GPU-native SQL engine that plugs into existing databases such as DuckDB via the standard Substrait query format without requiring any query rewrites or major system changes. It currently supports DuckDB and Doris, with support for other systems coming soon. Sirius is under active development and several features are still in progress. Its current limitations include data size limitations, row count limitations, data type coverage, operator coverage, and a lack of support for partially NULL columns.
OpenAI's leaders have been working around the clock to talk to employees who have received offers from Meta. Meta has successfully poached a number of OpenAI's senior researchers. Eight researchers have departed OpenAI for Meta over the past week. OpenAI has recalibrated its compensation and is looking for creative ways to recognize and reward top talent.
President Donald Trump says he has a group of buyers willing to acquire TikTok. A sale would need approval from the Chinese government, but Trump has told the media that President Xi Jinping 'will probably do it'. It is unclear whether the current buyer is the same as the one from three months ago - the deal fell apart in April due to a disagreement on tariffs. The US Congress passed a law forcing TikTok's sale in April last year, but the deadline for the sale has been repeatedly delayed.
There's no place for 'coasting' in software engineering anymore, but there is a lot of space for ambitious engineers, even if they're fresh graduates.
If you remove the 'AI' aspect of MCP (Model Context Protocol), it becomes a standardized way to connect literally anything to different data sources and tools.
The M5 chip will come to the MacBook Pro and iPad Pro this fall.
One of the common checks that malware programs perform to determine whether they are running on a virtual machine is to look for the presence of certain hardware components, like a CPU fan.
A software engineer has created an augmented reality app for Snap's fifth-generation AR Spectacles that identifies and blocks out advertisements, billboards, and product branding in real life.
A good community can have a tremendous influence on motivation.
Sponsored
If slow QA processes bottleneck you or your software engineering team and you're releasing slower because of it — you need to check out QA Wolf.
Meta has hired several researchers from OpenAI, including Trapit Bansal, Shengjia Zhao, Jiahui Yu, Shuchao Bi, and Hongyu Ren. The hiring spree comes after the April launch of Meta's Llama 4 AI models, which reportedly have not performed as well as Meta CEO Mark Zuckerberg had hoped. Meta's rumored $100 million signing bonuses, which have only been offered to senior leaders, are apparently more complex than a simple one-time signing bonus, according to Meta CTO Andrew Bosworth.
'The List' is a compilation of the most talented engineers and researchers in artificial intelligence put together by Mark Zuckerberg over the past few months. It contains researchers from elite schools who have worked at cutting-edge startups like OpenAI and Google DeepMind. This article looks at some of these people and why some of the richest companies in the world have decided they are worth so much. While a superteam of AI engineers comes at a high price, it still only costs a fraction of AI infrastructure like data centers.
Following a wave of high-profile departures to Meta, OpenAI leadership is actively adjusting compensation and recognition strategies to retain talent, according to internal memos. The company is reportedly engaging directly with staff holding competing offers.
Chinese technology giant Baidu plans to make its Ernie generative AI large language model open source. The open sourcing will be a gradual roll-out. Disruptors like DeepSeek have proven that open-source models can be as competitive and reliable as proprietary ones. Baidu's decision to open source is an important one for the global AI race - every time a major lab open-sources a powerful model, it raises the bar for the entire industry.
Anthropic partnered with Andon Labs to have Sonnet 3.7 operate an automated store in its San Francisco office, handling everything from inventory management to customer service via Slack. While Claude successfully found suppliers and adapted to customer requests—even for unusual items like tungsten cubes—it consistently lost money by selling items below cost and getting talked into discounts. Claude also hallucinated meetings with fictional people, claimed to physically visit The Simpsons' address, and insisted it could wear blazers and make deliveries in person.
Nvidia's Blackwell GPUs continue the company's long tradition of building giant GPUs. GB202, which occupies a massive 750mm2 of area and has 92.2 billion transistors, is the largest Blackwell die. Nvidia's RTX PRO 6000 Blackwell features the largest GB202 configuration to date. It comes incredibly close to AMD's MI300X in terms of vector FP32 throughput and is far ahead of Nvidia's own B200 datacenter GPU. The memory subsystem is a monster as well.
Sponsored
Wish AI understood your context? Concierge is the highest performance connected AI platform [15], that can talk to your favorite apps (Gmail, Slack, Jira, Attio, Linear, Drive, HubSpot, etc) and take actions for you.